Winning Picks, Guaranteed
S p o r t s D a t a b a s e . c o m
agile access to sports data


name
password


MLB Trends SDB Home    MLB Trends    MLB Query
Include trends from SDB's sample ml against SDB's sample ml on SDB's sample ou against SDB's sample ou on guest's web all active on filter on
Trends from SDB's sample ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
1623 27.1 19 30 38.8 The Pirates are 19-30-1 AGAINST since Aug 19, 2016
1617 37.6 18 24 42.9 The Pirates are 18-24-1 AGAINST since Jun 03, 2016 as a home favorite
919 38.9 2 12 14.3 The Pirates are 2-12 AGAINST since Aug 29, 2016 as a dog
686 41.7 1 8 11.1 The Pirates are 1-8 AGAINST since Aug 29, 2016 as a road dog
600 60.0 0 6 0.0 The Pirates are 0-6 AGAINST since Sep 22, 2016 on the road
517 29.6 10 4 71.4 The Pirates are 10-4 ON since Aug 25, 2016 as a road favorite

Trend Parameters: active, english, invested, losses, margin, profit, pushes, sdql, start, team, wins


How To Use the Trends Page:
Use the Pythonic Query Language to explore a database of trends. The full PyQL format is: parameters @ conditions. More typical use just specifies the condition and takes a default output.

To see all trends with an average margin of at least 2 use the PyQL condition: margin > 2.

To see all perfect trends use the PyQL: wins * losses = 0
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).